Prof. Dr. Mirjam Meijer is Assistant Professor of Operations Management at Kühne Logistics University. She obtained her PhD in Operations Management and Logistics at Eindhoven University of Technology, The Netherlands. She holds a Bachelor of Science in Econometrics and Operations Research and a Master of Science in Econometrics and Management Science with a specialization in Operations Research and Quantitative Logistics, both from Erasmus University Rotterdam, The Netherlands.
In her research, she focuses on inventory control and supply chain optimization and coordination problems that are based on practical challenges faced by manufacturers of high-tech products and their suppliers. For this, she uses different methodologies, including stochastic optimization, game theory, Markov processes and queueing theory. Her research has been published in the European Journal of Operational Research and Naval Research Logistics and she presented her work at international conferences (e.g. INFORMS, MSOM, International Symposium of Inventory Research). She was awarded a prestigious Fulbright Scholarship to visit UCLA Anderson School of Management, but the visit was cancelled due to the Covid pandemic.
Mirjam Meijer has taught classes on stochastic operations management and inventory control in the Bachelor program of Industrial Engineering at Eindhoven University of Technology. Additionally, she has supervised students during their graduation projects.
(2022): Direct versus indirect penalties for supply contracts in high-tech industry, European Journal of Operational Research, 301 (1): 203-216.
Abstract: Unlike consumer goods industry, a high-tech manufacturer (OEM) often amortizes new product development costs over multiple generations, where demand for each generation is based on advance orders (i.e., known demand) and additional uncertain demand. Also, due to economic regulatory reasons, high-tech OEMs usually source from a single supplier. Relative to the high retail price, the costs for a supplier of producing high-tech components are low. Consequently, incentives are misaligned: the OEM faces relatively high under-stock costs and the supplier faces high over-stock costs. In this paper, we examine supply contracts that are intended to align the incentives between a high-tech OEM and a supplier so that the supplier will invest adequate and yet non-verifiable capacity to meet the OEM’s demand. When focusing on a single generation, the manufacturer can coordinate a decentralized supply chain and extract all surplus by augmenting a traditional wholesale price contract with a “contingent penalty” should the supplier fail to fulfill the OEM’s demand. When the resulting penalty is too high to be enforceable, we consider a new class of “contingent renewal” wholesale price contracts with a stipulation: the OEM will renew the contract with the incumbent supplier for the next generation only when the supplier can fulfill the demand for the current generation. By using non-renewal as an implicit penalty, we show that the contingent renewal contract can coordinate the supply chain. While the OEM can capture the bulk of the supply chain profit, this innovative contract cannot enable the OEM to extract the entire surplus.
(2022): Synchronization in a two-supplier assembly system: Combining a fixed lead-time module with capacitated make-to-order production, Naval Research Logistics: .
Abstract: A high-tech manufacturer often produces products that consist of many modules. These modules are either sourced from one of its suppliers or produced in-house. In this paper, we study the common case of an assembly system in which one module is sourced from a supplier with a fixed lead-time, while the other module is produced by the manufacturer itself in a make-to-order production system. Since unavailability of one of the modules has costly consequences for the production of the end-product, it is important to coordinate between the ordering policy for one module and the production of the other. We propose an order policy for the lead-time module with base-stock levels depending on the number of outstanding orders in the production system of the in-house produced module. We prove monotonicity properties of this policy and show optimality. Furthermore, we conduct a computational experiment to evaluate how the costs of this policy compare to those of a policy with fixed base-stock levels and show that average savings of up to 17% are attained.
|Assistant Professor of Operations Management, Kühne Logistics University, Hamburg, Germany
Visiting Scholar, Kühne Logistics University, Hamburg, Germany
|2017 - 2022
PhD in Operations Management and Logistics, Eindhoven University of Technology, Eindhoven, The Netherlands
|2016 - 2017
Master of Science in Econometrics and Management Science, Erasmus University Rotterdam, Rotterdam, The Netherlands
|2013 - 2016
|Bachelor of Science in Econometrics and Operations Research, Erasmus University Rotterdam, Rotterdam, The Netherlands
|Semester abroad, Norwegian University of Science and Technology, Trondheim, Norway
|2012 - 2013
|Campus Scholarship Program, Fulbright Center, Augustana College, Rock Island, Illinois, United States
- Meijer, Mirjam S., van Jaarsveld, W., de Kok, T., Tang, C. S. (2021): Contingent Penalty and Contingent Renewal Supply Contracts in High-Tech Industry. MOMS Conference, online.
- Meijer, Mirjam S., van Jaarsveld, W., de Kok, T. (2021): Contingent Renewal Contracts in High-Tech Manufacturing with Oligopolistic Suppliers. Symposium Beta Research School, Soesterberg, The Netherlands.
- Meijer, Mirjam S., Schol, D., van Jaarsveld, W., Vlasiou, M., Zwart, B. (2021): Extreme-Value Theory for Large Fork-Join Queues, with an Application to High-Tech Supply Chains. Summer School International Society for Inventory Research, Luxembourg, Luxembourg.
- Meijer, Mirjam S., van Jaarsveld, W., de Kok, T., Tang, C. S. (2019): Supply Chain Coordination with Service-Development Contract Termination. INFORMS Annual Meeting, Seattle, WA, USA.